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Benefits offered by this job
Competitive salary
Equity compensation
Excellent health benefits
Paid parental leave
Lunch and dinner provided
Unlimited PTO
Job summary
A healthcare technology firm in San Francisco is seeking a Machine Learning Engineer to design and deploy advanced models for medical language understanding. You will address pressing issues in applied AI, including training open-source language models and collaborating with various teams to ensure interpretability and effectiveness. This full-time onsite role offers competitive salary, equity compensation, and excellent benefits, with a strong emphasis on growth and ownership in a mission-driven environment.
Qualifications
Strong foundation in ML research or systems.
Deep experience with NLP and LLMs.
Experience shipping ML models in production environments.
Responsibilities
Train and fine-tune large open-source language models for clinical reasoning.
Design and scale multimodal embeddings for clinical documents.
Own the lifecycle of ML systems from prototypes to production services.
Build robust retrieval pipelines for semantic search in the clinical domain.
Collaborate with clinicians and engineers to ensure output aligns with constraints.
Contribute to a culture of ML excellence.
Skills
Machine Learning
Natural Language Processing (NLP)
PyTorch
Hugging Face
LangChain
Education
Advanced degree in Machine Learning or related field
Tools
Large Language Models (LLMs)
Job description
A healthcare technology firm in San Francisco is seeking a Machine Learning Engineer to design and deploy advanced models for medical language understanding. You will address pressing issues in applied AI, including training open-source language models and collaborating with various teams to ensure interpretability and effectiveness. This full-time onsite role offers competitive salary, equity compensation, and excellent benefits, with a strong emphasis on growth and ownership in a mission-driven environment.